Concealing information in image mosaics based on tile image features

Tsai, Chih‐Heng; Liaw, Chishyan; Liao, Yuan-Hsun; Ko, Chao-Hui

doi:10.1080/02533839.2011.565618

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Takayuki Ishida et al have discussed an improved version of JPEG2000 Stegnography, named QIM-JPEG2000 Stegnography, using quantization index modulation (QIM) [23]. In 2010 Ching-Tsorng Tsai et al presented a steganographic scheme that conceals secret information in image mosaics based on tile [24]. In 2011 Chung-Ming Wang and Peng-Cheng Wang schemes presented two new scheme SSA and ESA, for digital Stegnography of point sampled geometry in the spatial domain image features [25].…”

Section: Previous Workmentioning

confidence: 99%

Implementation of Variable Tone Variable Bits Gray-Scale Image Stegnography Using Discrete Cosine Transform

Khan¹,

Khan²,

Iqbal³

et al. 2013

JSIP

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Secure exchange of information is the basic need of modern digital world of e-communication which is achieved either by encrypting information or by hiding information in other information called cover media. Concealing information requires a well designed technique of Stegnography. This work presents a technique, variable tone variable bits (VTVB) Stegnography, to hide information in a cover image. The VTVB Stegnography hides variable data in discrete cosine transform (DCT) coefficients of the cover image. VTVB Stegnography provides variable data hiding capacity and variable distortion. Additional large data hiding this technique provide extra security due to the large key size making VTVB Stegnography technique much more immune to steganalysis. The hiding makes the existence of information imperceptible for steganalysis and the key of keeping a secret makes the recovering of information difficult for an intruder. The key size is depending on cover image and numbers of bits of discrete cosine transform (DCT) coefficients used for information embedding. This is a very flexible technique and can be used for low payload applications, e.g. watermarking to high payload applications, e.g. network Stegnography.

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Section: Previous Workmentioning

confidence: 99%

Implementation of Variable Tone Variable Bits Gray-Scale Image Stegnography Using Discrete Cosine Transform

Khan¹,

Khan²,

Iqbal³

et al. 2013

JSIP

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show abstract

“…In spatial domain, steganographers make use of the least significant bits of cover image pixels. The LSB steganography, 4LSB steganography, VLSB steganography, data hiding in edge pixels, pixels value difference‐based steganography and many more such techniques are part of this spatial domain data hiding family . The transform domain data hiding methods uses the transform coefficient for the same purpose.…”

Section: Introductionmentioning

confidence: 99%

Enhanced stego block chaining (ESBC) for low bandwidth channels

Khan

Ismail

Khan

et al. 2016

Security Comm Networks

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This paper presents a new enhanced stego block chaining (ESBC) technique for data hiding to address the bandwidth and transmission time issues of simple stego block chaining (SBC). In simple SBC data hiding method, the security of the hidden information is increased by increasing the number of stages, but the addition of each stage decreases the hiding capacity. This increases the size of the data needed to transmit the secret message and thus results in an increase in the required bandwidth and transmission time. The proposed ESBC technique addresses the bandwidth and transmission time issues of the simple SBC method. The output of the ESBC is a high quality stego image with peak signal-to-noise ratio above 40 dB and provides the same additional security as simple SBC but reduces the requirements of the bandwidth and transmission time by one half of that of the simple SBC and, thus, solves the hiding capacity issues of SBC for low bandwidth channels.

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